The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Report Printed On 

## [1] "2020-04-28"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "3116398 (up from 3041764 yesterday: 2.45 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "217153 (up from 211167 yesterday: 2.83 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.97



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1012582 24385 2.47 58355 2096 3.73 5.76
Spain 232128 2706 1.18 23822 301 1.28 10.26
Italy 201505 2091 1.05 27359 382 1.42 13.58
France 169053 3090 1.86 23694 367 1.57 14.02
United Kingdom 162350 4002 2.53 21745 588 2.78 13.39
Germany 159912 1154 0.73 6314 188 3.07 3.95
Turkey 114653 2392 2.13 2992 92 3.17 2.61
Russia 93558 6411 7.36 867 73 9.19 0.93
Iran 92584 1112 1.22 5877 71 1.22 6.35
China 83940 22 0.03 4637 0 0.00 5.52
Brazil 73235 5789 8.58 5083 480 10.43 6.94
Canada 51150 1534 3.09 2983 142 5.00 5.83
Belgium 47334 647 1.39 7331 124 1.72 15.49
Netherlands 38612 172 0.45 4582 48 1.06 11.87
India 31324 1873 6.36 1008 69 7.35 3.22
Peru 31190 2491 8.68 854 72 9.21 2.74
Switzerland 29264 100 0.34 1699 34 2.04 5.81
Portugal 24322 295 1.23 948 20 2.16 3.90
Ecuador 24258 1018 4.38 871 208 31.37 3.59
Saudi Arabia 20077 1266 6.73 152 8 5.56 0.76
Ireland 19877 229 1.17 1159 57 5.17 5.83
Sweden 19621 695 3.67 2355 81 3.56 12.00
Mexico 16752 1223 7.88 1569 135 9.41 9.37
Israel 15728 173 1.11 210 6 2.94 1.34
Austria 15357 83 0.54 569 20 3.64 3.71
Singapore 14951 528 3.66 14 0 0.00 0.09
Pakistan 14612 697 5.01 312 20 6.85 2.14
Chile 14365 552 4.00 207 9 4.55 1.44
Japan 13736 -417 -2.95 394 9 2.34 2.87
Poland 12218 316 2.66 596 34 6.05 4.88
Belarus 12208 919 8.14 79 4 5.33 0.65
Qatar 11921 677 6.02 10 0 0.00 0.08
Romania 11616 277 2.44 663 22 3.43 5.71
United Arab Emirates 11380 541 4.99 89 7 8.54 0.78
Korea, South 10761 9 0.08 246 2 0.82 2.29
Indonesia 9511 415 4.56 773 8 1.05 8.13
Ukraine 9410 401 4.45 239 19 8.64 2.54
Denmark 9049 153 1.72 434 7 1.64 4.80
Philippines 7958 181 2.33 530 19 3.72 6.66
Norway 7660 61 0.80 206 1 0.49 2.69
Czechia 7504 59 0.79 227 4 1.79 3.03
Australia 6744 23 0.34 89 6 7.23 1.32
Serbia 6630 0 0.00 125 0 0.00 1.89
Bangladesh 6462 549 9.28 155 3 1.97 2.40
Dominican Republic 6416 123 1.95 286 4 1.42 4.46
Panama 6021 0 0.00 167 0 0.00 2.77
Colombia 5949 352 6.29 269 16 6.32 4.52
Malaysia 5851 31 0.53 100 1 1.01 1.71
Egypt 5042 260 5.44 359 22 6.53 7.12
South Africa 4996 203 4.24 93 3 3.33 1.86
Finland 4740 45 0.96 199 6 3.11 4.20
Morocco 4252 132 3.20 165 3 1.85 3.88
Argentina 4127 124 3.10 207 10 5.08 5.02
Luxembourg 3741 12 0.32 89 1 1.14 2.38
Algeria 3649 132 3.75 437 5 1.16 11.98
Moldova 3638 157 4.51 103 1 0.98 2.83
Kuwait 3440 152 4.62 23 1 4.55 0.67
Kazakhstan 3027 192 6.77 25 0 0.00 0.83
Thailand 2938 7 0.24 54 2 3.85 1.84
Bahrain 2811 88 3.23 8 0 0.00 0.28
Hungary 2649 66 2.56 291 11 3.93 10.99
Greece 2566 32 1.26 138 2 1.47 5.38
Oman 2131 82 4.00 10 0 0.00 0.47
Croatia 2047 8 0.39 63 4 6.78 3.08
Uzbekistan 1939 35 1.84 8 0 0.00 0.41
Iraq 1928 81 4.39 90 2 2.27 4.67
Armenia 1867 59 3.26 30 1 3.45 1.61
Afghanistan 1828 125 7.34 58 1 1.75 3.17
Iceland 1795 3 0.17 10 0 0.00 0.56
Azerbaijan 1717 39 2.32 22 0 0.00 1.28
Cameroon 1705 0 0.00 58 0 0.00 3.40
Ghana 1671 121 7.81 16 5 45.45 0.96
Estonia 1660 13 0.79 50 0 0.00 3.01
Bosnia and Herzegovina 1585 20 1.28 63 3 5.00 3.97
Nigeria 1532 195 14.58 44 4 10.00 2.87
New Zealand 1474 2 0.14 19 0 0.00 1.29
Cuba 1437 48 3.46 58 2 3.57 4.04
North Macedonia 1421 22 1.57 71 6 9.23 5.00
Slovenia 1408 6 0.43 86 3 3.61 6.11
Bulgaria 1399 36 2.64 58 0 0.00 4.15
Slovakia 1384 3 0.22 20 2 11.11 1.45
Lithuania 1344 -105 -7.25 44 3 7.32 3.27
Guinea 1240 77 6.62 7 0 0.00 0.56
Cote d’Ivoire 1183 19 1.63 14 0 0.00 1.18
Djibouti 1072 37 3.57 2 0 0.00 0.19
Bolivia 1014 0 0.00 53 0 0.00 5.23

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 295106 3110 1.07 22912 244 1.08 7.76 15169.77 1177.78 1 in 66
New Jersey 113856 2668 2.40 6442 398 6.59 5.66 12818.46 725.27 1 in 78
Massachusetts 58302 1840 3.26 3153 150 5.00 5.41 8389.38 453.70 1 in 119
Illinois 48102 2219 4.84 2125 142 7.16 4.42 3795.98 167.69 1 in 263
California 46164 1198 2.66 1864 85 4.78 4.04 1168.35 47.18 1 in 856
Pennsylvania 45137 1579 3.63 2046 160 8.48 4.53 3525.78 159.82 1 in 284
Michigan 39262 1052 2.75 3568 161 4.73 9.09 3931.37 357.27 1 in 254
Florida 32848 710 2.21 1171 83 7.63 3.56 1529.40 54.52 1 in 654
Louisiana 27286 218 0.81 1801 61 3.51 6.60 5869.48 387.41 1 in 170
Texas 26357 1036 4.09 719 53 7.96 2.73 908.99 24.80 1 in 1100
Connecticut 26312 315 1.21 2087 75 3.73 7.93 7380.05 585.37 1 in 136
Georgia 24922 620 2.55 1036 41 4.12 4.16 2347.27 97.58 1 in 426
Maryland 20113 626 3.21 1016 71 7.51 5.05 3326.84 168.05 1 in 301
Ohio 16769 444 2.72 799 46 6.11 4.76 1434.58 68.35 1 in 697
Indiana 16588 627 3.93 901 57 6.75 5.43 2463.97 133.83 1 in 406
Virginia 14339 801 5.92 492 32 6.96 3.43 1679.92 57.64 1 in 595
Colorado 14316 437 3.15 736 30 4.25 5.14 2485.96 127.81 1 in 402
Washington 13842 156 1.14 786 22 2.88 5.68 1817.75 103.22 1 in 550
Tennessee 10052 134 1.35 188 4 2.17 1.87 1471.06 27.51 1 in 680
North Carolina 9755 327 3.47 363 23 6.76 3.72 930.10 34.61 1 in 1075
Rhode Island 7927 219 2.84 239 6 2.58 3.02 7482.81 225.61 1 in 134
Missouri 7450 145 1.98 330 -13 -3.79 4.43 1213.86 53.77 1 in 824
Arizona 6955 230 3.42 275 0 0.00 3.95 913.34 36.11 1 in 1095
Alabama 6750 211 3.23 242 14 6.14 3.59 1376.66 49.36 1 in 726
Iowa 6376 508 8.66 136 9 7.09 2.13 2020.87 43.11 1 in 495
Mississippi 6342 248 4.07 239 10 4.37 3.77 2130.94 80.31 1 in 469
Wisconsin 6289 208 3.42 300 19 6.76 4.77 1080.13 51.52 1 in 926
South Carolina 5735 122 2.17 192 15 8.47 3.35 1113.87 37.29 1 in 898
Nevada 4821 121 2.57 219 13 6.31 4.54 1565.18 71.10 1 in 639
Delaware 4575 413 9.92 137 12 9.60 2.99 4698.26 140.69 1 in 213
Kentucky 4375 219 5.27 225 12 5.63 5.14 979.26 50.36 1 in 1021
Utah 4345 109 2.57 41 0 0.00 0.94 1355.29 12.79 1 in 738
Minnesota 4181 370 9.71 301 15 5.24 7.20 741.36 53.37 1 in 1349
District of Columbia 3994 102 2.62 190 5 2.70 4.76 5659.24 269.22 1 in 177
Kansas 3652 179 5.15 127 1 0.79 3.48 1253.56 43.59 1 in 798
Nebraska 3517 159 4.73 56 0 0.00 1.59 1818.13 28.95 1 in 550
Oklahoma 3410 129 3.93 207 10 5.08 6.07 861.77 52.31 1 in 1160
Arkansas 3127 58 1.89 57 6 11.76 1.82 1036.18 18.89 1 in 965
New Mexico 2974 149 5.27 105 6 6.06 3.53 1418.33 50.08 1 in 705
Oregon 2385 31 1.32 99 7 7.61 4.15 565.47 23.47 1 in 1768
South Dakota 2313 69 3.07 11 0 0.00 0.48 2614.57 12.43 1 in 382
New Hampshire 2010 72 3.72 60 0 0.00 2.99 1478.26 44.13 1 in 676
Idaho 1952 55 2.90 60 4 7.14 3.07 1089.25 33.48 1 in 918
Puerto Rico 1400 11 0.79 86 2 2.38 6.14 438.36 26.93 1 in 2281
West Virginia 1095 32 3.01 38 4 11.76 3.47 612.71 21.26 1 in 1632
Maine 1040 17 1.66 51 0 0.00 4.90 773.69 37.94 1 in 1293
North Dakota 991 49 5.20 19 0 0.00 1.92 1300.42 24.93 1 in 769
Vermont 862 7 0.82 47 0 0.00 5.45 1381.43 75.32 1 in 724
Hawaii 609 2 0.33 16 0 0.00 2.63 430.12 11.30 1 in 2325
Wyoming 536 16 3.08 7 0 0.00 1.31 926.12 12.09 1 in 1080
Montana 451 2 0.45 15 1 7.14 3.33 421.98 14.03 1 in 2370
Alaska 351 6 1.74 9 0 0.00 2.56 479.81 12.30 1 in 2084

US Tested- Confirmed- Hospitalized Funnel (All States)

State Level Figures

State Tested Confirmed Hospitalized ConfirmationRate HospitalizationRate TestsPerMillPopl
New York 844994 295106 64275 34.92 21.78 43436.47
New Jersey 234359 113856 NA 48.58 NA 26385.27
Massachusetts 254500 58302 5515 22.91 9.46 36621.32
Illinois 242189 48102 NA 19.86 NA 19112.41
California 577608 46164 NA 7.99 NA 14618.46
Pennsylvania 209088 45137 NA 21.59 NA 16332.46
Michigan 164805 39262 NA 23.82 NA 16502.19
Florida 366875 32848 5266 8.95 16.03 17081.64
Louisiana 151108 27286 NA 18.06 NA 32504.77
Texas 300384 26357 NA 8.77 NA 10359.54
Connecticut 92745 26312 NA 28.37 NA 26013.33
Georgia 140020 24922 4814 17.80 19.32 13187.76
Maryland 107785 20113 4268 18.66 21.22 17828.43
Ohio 122706 16769 3340 13.67 19.92 10497.47
Indiana 87181 16588 NA 19.03 NA 12949.82
Virginia 82753 14339 3422 17.33 23.86 9695.13
Colorado 66341 14316 2485 21.58 17.36 11520.06
Washington 179679 13842 NA 7.70 NA 23595.74
Tennessee 161928 10052 894 6.21 8.89 23697.33
North Carolina 112752 9755 NA 8.65 NA 10750.49
Rhode Island 57693 7927 732 13.74 9.23 54460.19
Missouri 73503 7450 NA 10.14 NA 11976.19
Arizona 67438 6955 1095 10.31 15.74 8856.07
Alabama 75827 6750 911 8.90 13.50 15464.85
Iowa 39823 6376 NA 16.01 NA 12621.91
Mississippi 64412 6342 1088 9.85 17.16 21642.73
Wisconsin 69824 6289 1456 9.01 23.15 11992.24
South Carolina 52145 5735 944 11.00 16.46 10127.77
Nevada 40119 4821 NA 12.02 NA 13024.99
Delaware 21180 4575 NA 21.60 NA 21750.65
Kentucky 48799 4375 1281 8.97 29.28 10922.69
Utah 102439 4345 370 4.24 8.52 31952.70
Minnesota 63829 4181 912 6.55 21.81 11317.94
District of Columbia 18885 3994 NA 21.15 NA 26758.81
Kansas 28090 3652 504 13.00 13.80 9641.94
Nebraska 23605 3517 NA 14.90 NA 12202.70
Oklahoma 59699 3410 656 5.71 19.24 15087.05
Arkansas 40671 3127 NA 7.69 NA 13476.92
New Mexico 58803 2974 481 5.06 16.17 28043.77
Oregon 51198 2385 554 4.66 23.23 12138.74
South Dakota 16612 2313 157 13.92 6.79 18777.86
New Hampshire 20145 2010 246 9.98 12.24 14815.65
Idaho 20052 1952 172 9.73 8.81 11189.33
Puerto Rico 10713 1400 NA 13.07 NA 3354.42
West Virginia 43055 1095 NA 2.54 NA 24091.47
Maine 17824 1040 163 5.83 15.67 13259.81
North Dakota 23723 991 79 4.18 7.97 31130.01
Vermont 15215 862 NA 5.67 NA 24383.44
Hawaii 29183 609 68 2.09 11.17 20611.33
Wyoming 8615 536 56 6.22 10.45 14885.30
Montana 13191 451 61 3.42 13.53 12342.13
Alaska 17089 351 NA 2.05 NA 23360.15

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 9318 728 8.47 1388 14.90 7530 400 31 8.40 4.29
Gujarat 3774 226 6.37 434 11.50 3159 181 19 11.73 4.80
Delhi 3314 206 6.63 1078 32.53 2182 54 0 0.00 1.63
Madhya Pradesh 2387 222 10.25 373 15.63 1894 120 10 9.09 5.03
Rajasthan 2383 121 5.35 770 32.31 1561 52 2 4.00 2.18
Tamil Nadu 2058 121 6.25 1128 54.81 905 25 1 4.17 1.21
Uttar Pradesh 2053 67 3.37 462 22.50 1557 34 3 9.68 1.66
Andhra Pradesh 1259 82 6.97 258 20.49 970 31 0 0.00 2.46
Telangana 1009 6 0.60 374 37.07 610 25 0 0.00 2.48
West Bengal 725 28 4.02 119 16.41 584 22 2 10.00 3.03
Jammu and Kashmir 565 19 3.48 176 31.15 381 8 1 14.29 1.42
Karnataka 523 11 2.15 207 39.58 296 20 0 0.00 3.82
Kerala 486 4 0.83 359 73.87 123 4 0 0.00 0.82
Bihar 366 20 5.78 64 17.49 300 2 0 0.00 0.55
Punjab 342 12 3.64 101 29.53 222 19 0 0.00 5.56
Haryana 308 7 2.33 224 72.73 81 3 0 0.00 0.97
Odisha 119 1 0.85 38 31.93 80 1 0 0.00 0.84
Jharkhand 105 2 1.94 19 18.10 83 3 0 0.00 2.86
Chandigarh 56 11 24.44 17 30.36 39 0 0 NaN 0.00
Uttarakhand 54 3 5.88 34 62.96 20 0 0 NaN 0.00
Himachal Pradesh 40 0 0.00 25 62.50 13 2 0 0.00 5.00
Assam 38 2 5.56 27 71.05 10 1 0 0.00 2.63
Chhattisgarh 38 1 2.70 34 89.47 4 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 15 45.45 18 0 0 NaN 0.00
Ladakh 22 2 10.00 16 72.73 6 0 0 NaN 0.00
Meghalaya 12 0 0.00 0 0.00 11 1 0 0.00 8.33
Puducherry 8 0 0.00 5 62.50 3 0 0 NaN 0.00
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Tripura 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Dadra and Nagar Haveli 0 0 NaN 0 NaN 0 0 0 NaN NaN
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 351423 74348 869 1.18 21.16 7280 655 35744 13575 18.26
Piemonte 144531 25450 352 1.40 17.61 2701 202 15506 2936 11.54
Emilia-Romagna 172589 24914 252 1.02 14.44 2574 228 12003 3472 13.94
Veneto 328218 17708 129 0.73 5.40 1067 120 8601 1408 7.95
Toscana 133617 9231 52 0.57 6.91 619 144 5896 811 8.79
Liguria 45719 7772 130 1.70 17.00 718 81 3571 1141 14.68
Lazio 128664 6467 75 1.17 5.03 1468 132 4562 414 6.40
Marche 54313 6175 48 0.78 11.37 666 58 3334 893 14.46
Campania 70566 4380 31 0.71 6.21 544 33 2802 358 8.17
P.A. Trento 33839 4025 30 0.75 11.89 182 22 1565 412 10.24
Puglia 58496 3980 22 0.56 6.80 448 51 2919 407 10.23
Sicilia 73008 3120 35 1.13 4.27 428 34 2143 232 7.44
Friuli Venezia Giulia 64151 2995 18 0.60 4.67 136 13 1239 278 9.28
Abruzzo 35356 2899 25 0.87 8.20 312 21 1990 310 10.69
P.A. Bolzano 39130 2498 2 0.08 6.38 136 15 910 272 10.89
Umbria 33881 1379 9 0.66 4.07 80 17 275 65 4.71
Sardegna 22116 1285 2 0.16 5.81 96 18 772 109 8.48
Valle d’Aosta 6897 1119 8 0.72 16.22 81 5 209 135 12.06
Calabria 33755 1097 1 0.09 3.25 113 6 764 85 7.75
Basilicata 10889 366 0 0.00 3.36 56 7 205 25 6.83
Molise 5776 297 1 0.34 5.14 18 1 195 21 7.07

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 25761 778 3.11 1683 83 5.19 6.53 3017.33 197.13 1 in 331
Ontario 16500 530 3.32 1072 49 4.79 6.50 1121.55 72.87 1 in 892
Alberta 4850 154 3.28 80 5 6.67 1.65 1098.99 18.13 1 in 910
British Columbia 2053 55 2.75 106 2 1.92 5.16 401.69 20.74 1 in 2489
Nova Scotia 915 15 1.67 27 3 12.50 2.95 936.10 27.62 1 in 1068
Saskatchewan 366 1 0.27 5 0 0.00 1.37 309.73 4.23 1 in 3229
Manitoba 273 0 0.00 6 0 0.00 2.20 198.18 4.36 1 in 5046
Newfoundland and Labrador 258 0 0.00 3 0 0.00 1.16 494.85 5.75 1 in 2021
New Brunswick 118 0 0.00 0 0 NaN 0.00 151.28 0.00 1 in 6610
Prince Edward Island 27 1 3.85 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1588 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1037 4 0.39
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 939 13 1.38
Jiangxi 937 1 0.11
Shandong 787 7 0.89
Jiangsu 653 0 0.00
Shanghai 645 7 1.09
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 355 1 0.28
Hebei 328 6 1.83
Shaanxi 306 3 0.98
Guangxi 254 2 0.79
Inner Mongolia 199 1 0.50
Shanxi 197 0 0.00
Tianjin 190 3 1.58
Yunnan 185 2 1.08
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 110 1 0.91
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 3094.69 178.35 1 in 323
Spain 4974.88 510.54 1 in 201
Italy 3331.76 452.36 1 in 300
France 2523.56 353.69 1 in 396
United Kingdom 2443.56 327.29 1 in 409
Germany 1931.54 76.27 1 in 518
Turkey 1418.80 37.03 1 in 705
Russia 647.46 6.00 1 in 1544
Iran 1140.76 72.41 1 in 877
China 60.56 3.35 1 in 16512
Brazil 349.90 24.29 1 in 2858
Canada 1360.73 79.36 1 in 735
Belgium 4152.11 643.07 1 in 241
Netherlands 2247.50 266.71 1 in 445
India 23.39 0.75 1 in 42747
Peru 969.54 26.55 1 in 1031
Switzerland 3414.70 198.25 1 in 293
Portugal 2363.65 92.13 1 in 423
Ecuador 1459.57 52.41 1 in 685
Saudi Arabia 609.50 4.61 1 in 1641

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 162338 17682 10.89
Nassau New York 35085 1647 4.69
Cook Illinois 33449 1457 4.36
Suffolk New York 32724 1131 3.46
Westchester New York 28245 983 3.48
Los Angeles California 20996 1002 4.77
Wayne Michigan 16173 1682 10.40
Bergen New Jersey 15251 1002 6.57
Hudson New Jersey 14309 722 5.05
Philadelphia Pennsylvania 13445 516 3.84
Middlesex Massachusetts 13417 731 5.45
Essex New Jersey 13190 1090 8.26
Union New Jersey 12188 627 5.14
Suffolk Massachusetts 12140 469 3.86
Miami-Dade Florida 11831 324 2.74
Passaic New Jersey 11755 475 4.04
Rockland New York 11453 481 4.20
Middlesex New Jersey 11102 515 4.64
Fairfield Connecticut 10874 747 6.87
Orange New York 8374 299 3.57
Essex Massachusetts 7972 383 4.80
New Haven Connecticut 7089 478 6.74
Oakland Michigan 7012 654 9.33
Orleans Louisiana 6380 410 6.43
Ocean New Jersey 6151 342 5.56
Jefferson Louisiana 6135 340 5.54
King Washington 6001 429 7.15
Harris Texas 5827 98 1.68
Monmouth New Jersey 5826 305 5.24
Norfolk Massachusetts 5567 448 8.05
Providence Rhode Island 5520 0 0.00
Prince George’s Maryland 5496 206 3.75
Macomb Michigan 5339 572 10.71
Hartford Connecticut 5224 643 12.31
Morris New Jersey 5128 377 7.35
Marion Indiana 5080 282 5.55
Worcester Massachusetts 4999 229 4.58
Broward Florida 4847 179 3.69
Plymouth Massachusetts 4744 256 5.40
Montgomery Pennsylvania 4043 249 6.16
Montgomery Maryland 4003 221 5.52
District of Columbia District of Columbia 3994 190 4.76
Clark Nevada 3793 186 4.90
Riverside California 3735 141 3.78
Mercer New Jersey 3605 212 5.88
Maricopa Arizona 3578 122 3.41
Hampden Massachusetts 3546 346 9.76
Delaware Pennsylvania 3463 161 4.65
Camden New Jersey 3285 124 3.77
Somerset New Jersey 3278 242 7.38

Overall US Choropleth Map

Choropleths are an ideal way to visualize the COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc